Classification of Ordinal Data Using Neural Networks. - Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (ECML, 2005)

SVMs applied to objective aesthetic evaluation conservative breast cancer treatment. - Jaime S. Cardoso 001; Joaquim F. Pinto da Costa; Maria João Cardoso (IJCNN, 2005)

Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment. - Jaime S. Cardoso 001; Joaquim F. Pinto da Costa; Maria João Cardoso (Neural Networks, 2005)

Accumulator size minimization for a fast cumulant-based motion estimator. - Jaime S. Cardoso 001; Luís Corte-Real (IEEE Trans. Circuits Syst. Video Technol., 2005)

Toward a generic evaluation of image segmentation. - Jaime S. Cardoso 001; Luís Corte-Real (IEEE Trans. Image Process., 2005)

Automatic Speaker Segmentation using Multiple Features and Distance Measures: A Comparison of Three Approaches. - Margarita Kotti; Luis P. M. Martins; Emmanouil Benetos; Jaime S. Cardoso 001; Constantine Kotropoulos (ICME, 2006)

Classification of Ordinal Data - Jaime S. Cardoso 001 (CoRR, 2006)

A measure for mutual refinements of image segmentations. - Jaime S. Cardoso 001; Luís Corte-Real (IEEE Trans. Image Process., 2006)

Bandwidth-Efficient Byte Stuffing. - Jaime S. Cardoso 001 (ICC, 2007)

Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment. - Jaime S. Cardoso 001; Maria João Cardoso (Artif. Intell. Medicine, 2007)

Learning to Classify Ordinal Data: The Data Replication Method. - Jaime S. Cardoso 001; Joaquim F. Pinto da Costa (J. Mach. Learn. Res., 2007)

Object Segmentation Using Background Modelling and Cascaded Change Detection. - Luís Filipe Teixeira 001; Jaime S. Cardoso 001; Luís Corte-Real (J. Multim., 2007)

Breast Contour Detection with Stable Paths. - Jaime S. Cardoso 001; Ricardo Gamelas Sousa; Luís Filipe Teixeira 001; Maria João Cardoso (BIOSTEC (Selected Papers), 2008)

Automatic Breast Contour Detection in Digital Photographs. - Jaime S. Cardoso 001; Luís Filipe Teixeira 001; Maria João Cardoso (HEALTHINF (2), 2008)

A connected path approach for staff detection on a music score. - Jaime S. Cardoso 001; Artur Capela; Ana Rebelo; Carlos Guedes (ICIP, 2008)

Breast contour detection with shape priors. - Ricardo Gamelas Sousa; Jaime S. Cardoso 001; Joaquim F. Pinto da Costa; Maria João Cardoso (ICIP, 2008)

Integrated Recognition System for Music Scores. - Artur Capela; Jaime S. Cardoso 001; Ana Rebelo; Carlos Guedes (ICMC, 2008)

Staff Line Detection and Removal with Stable Paths. - Artur Capela; Ana Rebelo; Jaime S. Cardoso 001; Carlos Guedes (SIGMAP, 2008)

Automatic System for the Recognition of Amounts in Handwritten Cheques. - Filipe Coelho; Luis Batista; Luís Filipe Teixeira 001; Jaime S. Cardoso 001 (SIGMAP, 2008)

The unimodal model for the classification of ordinal data. - Joaquim F. Pinto da Costa; Hugo Alonso; Jaime S. Cardoso 001 (Neural Networks, 2008)

Breast Contour Detection for the Aesthetic Evaluation of Breast Cancer Conservative Treatment. - Jaime S. Cardoso 001; Maria João Cardoso (Computer Recognition Systems 2, 2008)

An Ordinal Data Method for the Classification with Reject Option. - Ricardo Gamelas Sousa; Beatriz Mora; Jaime S. Cardoso 001 (ICMLA, 2009)

Image Retargeting using Stable Paths. - Hélder P. Oliveira; Jaime S. Cardoso 001 (VISAPP (2), 2009)

Stable text line detection. - Jaime S. Cardoso 001 (WACV, 2009)

Partition-distance methods for assessing spatial segmentations of images and videos. - Jaime S. Cardoso 001; Pedro Carvalho; Luís Filipe Teixeira 001; Luís Corte-Real (Comput. Vis. Image Underst., 2009)

Classification Models with Global Constraints for Ordinal Data. - Jaime S. Cardoso 001; Ricardo Gamelas Sousa (ICMLA, 2010)

An All-at-once Unimodal SVM Approach for Ordinal Classification. - Joaquim F. Pinto da Costa; Ricardo Gamelas Sousa; Jaime S. Cardoso 001 (ICMLA, 2010)

Robust Staffline Thickness and Distance Estimation in Binary and Gray-Level Music Scores. - Jaime S. Cardoso 001; Ana Rebelo (ICPR, 2010)

Optical recognition of music symbols - A comparative study. - Ana Rebelo; Guilherme Artur Capela; Jaime S. Cardoso 001 (Int. J. Document Anal. Recognit., 2010)

A Shortest Path Approach for Vibrating Line Detection and Tracking. - Pedro Carvalho; Miguel Amável Pinheiro; Jaime S. Cardoso 001; Luís Corte-Real (IbPRIA, 2011)

Diagnostic of Pathology on the Vertebral Column with Embedded Reject Option. - Ajalmar R. da Rocha Neto; Ricardo Gamelas Sousa; Guilherme De A. Barreto; Jaime S. Cardoso 001 (IbPRIA, 2011)

Music Score Binarization Based on Domain Knowledge. - Telmo Pinto 002; Ana Rebelo; Gilson A. Giraldi; Jaime S. Cardoso 001 (IbPRIA, 2011)

Feature Selection with Complexity Measure in a Quadratic Programming Setting. - Ricardo Gamelas Sousa; Hélder P. Oliveira; Jaime S. Cardoso 001 (IbPRIA, 2011)

Max-Coupled Learning: Application to Breast Cancer. - Jaime S. Cardoso 001; Inês Domingues (ICMLA (1), 2011)

Metric Learning for Music Symbol Recognition. - Ana Rebelo; Jakub Tkaczuk; Ricardo Gamelas Sousa; Jaime S. Cardoso 001 (ICMLA (2), 2011)

Ensemble of decision trees with global constraints for ordinal classification. - Ricardo Gamelas Sousa; Jaime S. Cardoso 001 (ISDA, 2011)

Surface Reconstruction for Generating Digital Models of Prosthesis. - Luiz C. M. de Aquino; Diego Augusto T. Q. Leite; Gilson Antonio Giraldi; Jaime S. Cardoso 001; Paulo Sérgio Silva Rodrigues; Luiz A. Pereira Neves (VISAPP, 2011)

Measuring the Performance of Ordinal Classification. - Jaime S. Cardoso 001; Ricardo Gamelas Sousa (Int. J. Pattern Recognit. Artif. Intell., 2011)

Simultaneous detection of prominent points on breast cancer conservative treatment images. - Hélder P. Oliveira; Jaime S. Cardoso 001; André Magalhães; Maria João Cardoso (ICIP, 2012)

Automatic description of object appearances in a wide-area surveillance scenario. - Luís Filipe Teixeira 001; Pedro Carvalho; Jaime S. Cardoso 001; Luís Corte-Real (ICIP, 2012)

Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches. - Jaime S. Cardoso 001; Ricardo Gamelas Sousa; Inês Domingues (ICMLA (1), 2012)

Optical music recognition: state-of-the-art and open issues. - Ana Rebelo; Ichiro Fujinaga; Filipe Paszkiewicz; André R. S. Marçal; Carlos Guedes; Jaime S. Cardoso 001 (Int. J. Multim. Inf. Retr., 2012)

Filling the gap in quality assessment of video object tracking. - Pedro Carvalho; Jaime S. Cardoso 001; Luís Corte-Real (Image Vis. Comput., 2012)

Is Kinect Depth Data Accurate for the Aesthetic Evaluation after Breast Cancer Surgeries? - Hélder P. Oliveira; Marco D. Silva; André Magalhães; Maria João Cardoso; Jaime S. Cardoso 001 (IbPRIA, 2013)

Motion Flow Tracking in Unconstrained Videos for Retail Scenario. - Eduardo Marques Pereira; Jaime S. Cardoso 001; Ricardo Morla (IbPRIA, 2013)

Staff Line Detection and Removal in the Grayscale Domain. - Ana Rebelo; Jaime S. Cardoso 001 (ICDAR, 2013)

Global Constraints for Syntactic Consistency in OMR: An Ongoing Approach. - Ana Rebelo; André R. S. Marçal; Jaime S. Cardoso 001 (ICIAR, 2013)

Predicting short 802.11 sessions from RADIUS usage data. - Anisa Allahdadi; Ricardo Morla; Ana Aguiar; Jaime S. Cardoso 001 (LCN Workshops, 2013)

Robust Iris Segmentation under Unconstrained Settings. - João C. Monteiro; Hélder P. Oliveira; Ana Filipa Sequeira; Jaime S. Cardoso 001 (VISAPP (1), 2013)

Robust Iris Localisation in Challenging Scenarios. - João C. Monteiro; Ana Filipa Sequeira; Hélder P. Oliveira; Jaime S. Cardoso 001 (VISIGRAPP (Selected Papers), 2013)

The data replication method for the classification with reject option. - Ricardo Gamelas Sousa; Jaime S. Cardoso 001 (AI Commun., 2013)

Analysis of object description methods in a video object tracking environment. - Pedro Carvalho; Telmo Oliveira; Lucian Ciobanu; Filipe Gaspar; Luís Filipe Teixeira 001; Rafael Bastos; Jaime S. Cardoso 001; Miguel Sales Dias; Luís Corte-Real (Mach. Vis. Appl., 2013)

Multicriteria Models for Learning Ordinal Data: A Literature Review. - Ricardo Gamelas Sousa; Iryna Yevseyeva; Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013)

Normal breast identification in screening mammography: A study on 18 000 images. - Sílvia Bessa; Inês Domingues; Jaime S. Cardoso 001; Pedro Passarinho; Pedro Cardoso; Vitor Rodrigues; Fernando Lage (BIBM, 2014)

Fitting of superquadrics for breast modelling by geometric distance minimization. - Diogo Pernes; Jaime S. Cardoso 001; Hélder P. Oliveira (BIBM, 2014)

Using Bayesian surprise to detect calcifications in mammogram images. - Inês Domingues; Jaime S. Cardoso 001 (EMBC, 2014)

reject option paradigm for the reduction of support vectors. - Ricardo Gamelas Sousa; Ajalmar R. da Rocha Neto; Guilherme A. Barreto; Jaime S. Cardoso 001; Miguel T. Coimbra (ESANN, 2014)

Classification with Reject Option Using the Self-Organizing Map. - Ricardo Gamelas Sousa; Ajalmar R. da Rocha Neto; Jaime S. Cardoso 001; Guilherme De A. Barreto (ICANN, 2014)

MobILive 2014 - Mobile Iris Liveness Detection Competition. - Ana Filipa Sequeira; Hélder P. Oliveira; João C. Monteiro; João P. Monteiro; Jaime S. Cardoso 001 (IJCB, 2014)

A depth-map approach for automatic mice behavior recognition. - João P. Monteiro; Hélder P. Oliveira; Paulo Aguiar; Jaime S. Cardoso 001 (ICIP, 2014)

Active Learning from Video Streams in a Multi-camera Scenario. - Samaneh Khoshrou; Jaime S. Cardoso 001; Luís Filipe Teixeira 001 (ICPR, 2014)

Iris liveness detection methods in the mobile biometrics scenario. - Ana Filipa Sequeira; Juliano Murari; Jaime S. Cardoso 001 (IJCNN, 2014)

Outlier detection in 802.11 wireless access points using Hidden Markov Models. - Anisa Allahdadi; Ricardo Morla; Jaime S. Cardoso 001 (WMNC, 2014)

Context-based trajectory descriptor for human activity profiling. - Eduardo Marques Pereira; Lucian Ciobanu; Jaime S. Cardoso 001 (SMC, 2014)

Iris Liveness Detection Methods in Mobile Applications. - Ana Filipa Sequeira; Juliano Murari; Jaime S. Cardoso 001 (VISAPP (3), 2014)

A 3D low-cost solution for the aesthetic evaluation of breast cancer conservative treatment. - Hélder P. Oliveira; Jaime S. Cardoso 001; André Magalhães; Maria João Cardoso (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2014)

Active Mining of Parallel Video Streams. - Samaneh Khoshrou; Jaime S. Cardoso 001; Luís Filipe Teixeira 001 (CoRR, 2014)

Signal transmission model for the substations grounding grid. - Xianghui Xiao; Minfang Peng; Jaime S. Cardoso 001; Lei Wang; Meie Shen (Expert Syst. Appl., 2014)

Corrigendum to "The unimodal model for the classification of ordinal data" [Neural Networks 21 (2008) 78-79]. - Joaquim F. Pinto da Costa; Hugo Alonso; Jaime S. Cardoso 001 (Neural Networks, 2014)

Max-Ordinal Learning. - Inês Domingues; Jaime S. Cardoso 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Periocular Recognition under Unconstrained Settings with Universal Background Models. - João C. Monteiro; Jaime S. Cardoso 001 (BIOSIGNALS, 2015)

A Novel Application of Universal Background Models for Periocular Recognition. - João C. Monteiro; Jaime S. Cardoso 001 (BIOSTEC (Selected Papers), 2015)

Temporal Segmentation of Digital Colposcopies. - Kelwin Fernandes; Jaime S. Cardoso 001; Jessica Fernandes (IbPRIA, 2015)

Source-Target-Source Classification Using Stacked Denoising Autoencoders. - Chetak Kandaswamy; Luís M. Silva; Jaime S. Cardoso 001 (IbPRIA, 2015)

Social Signaling Descriptor for Group Behaviour Analysis. - Eduardo Marques Pereira; Lucian Ciobanu; Jaime S. Cardoso 001 (IbPRIA, 2015)

oAdaBoost - An AdaBoost Variant for Ordinal Classification. - João Costa; Jaime S. Cardoso 001 (ICPRAM (1), 2015)

Video Analysis in Indoor Soccer using a Quadcopter. - Filipe Trocado Ferreira; Jaime S. Cardoso 001; Hélder P. Oliveira (ICPRAM (1), 2015)

Spatio-Temporal Fusion for Learning of Regions of Interests Over Multiple Video Streams. - Samaneh Khoshrou; Jaime S. Cardoso 001; Eric Granger; Luís Filipe Teixeira 001 (ISVC (2), 2015)

A Comparative Analysis of Two Approaches to Periocular Recognition in Mobile Scenarios. - João C. Monteiro; Rui Esteves; Gil Melfe Mateus Santos; Paulo Torrão Fiadeiro; Joana Lobo; Jaime S. Cardoso 001 (ISVC (2), 2015)

Differential scorecards for binary and ordinal data. - Pedro F. B. Silva; Jaime S. Cardoso 001 (Intell. Data Anal., 2015)

The vitality of pattern recognition and image analysis. - Luisa Micó; João M. Sanches; Jaime S. Cardoso 001 (Neurocomputing, 2015)

Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer. - Jaime S. Cardoso 001; Inês Domingues; Hélder P. Oliveira (Int. J. Pattern Recognit. Artif. Intell., 2015)

Learning from evolving video streams in a multi-camera scenario. - Samaneh Khoshrou; Jaime S. Cardoso 001; Luís Filipe Teixeira 001 (Mach. Learn., 2015)

Robust classification with reject option using the self-organizing map. - Ricardo Gamelas Sousa; Ajalmar R. da Rocha Neto; Jaime S. Cardoso 001; Guilherme A. Barreto (Neural Comput. Appl., 2015)

A new optical music recognition system based on combined neural network. - Cuihong Wen; Ana Rebelo; Jing Zhang; Jaime S. Cardoso 001 (Pattern Recognit. Lett., 2015)

A Cognitively-Motivated Framework for Partial Face Recognition in Unconstrained Scenarios. - João C. Monteiro; Jaime S. Cardoso 001 (Sensors, 2015)

Fingerprint Liveness Detection in the Presence of Capable Intruders. - Ana Filipa Sequeira; Jaime S. Cardoso 001 (Sensors, 2015)

Fitting of Breast Data Using Free Form Deformation Technique. - Hooshiar Zolfagharnasab; Jaime S. Cardoso 001; Hélder P. Oliveira (ICIAR, 2016)

Tackling class imbalance with ranking. - Ricardo P. M. Cruz; Kelwin Fernandes; Jaime S. Cardoso 001; Joaquim F. Pinto da Costa (IJCNN, 2016)

Learning and ensembling lexicographic preference trees with multiple kernels. - Kelwin Fernandes; Jaime S. Cardoso 001; Héctor Palacios (IJCNN, 2016)

A Comparative Analysis of Deep and Shallow Features for Multimodal Face Recognition in a Novel RGB-D-IR Dataset. - Tiago Freitas; Pedro G. Alves; Cristiana Carpinteiro; Joana Rodrigues; Margarida Fernandes; Marina Castro; João C. Monteiro; Jaime S. Cardoso 001 (ISVC (1), 2016)

Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-modal Imaging and Mechano-Biological Modelling Framework. - Björn Eiben; Rene M. Lacher; Vasileios Vavourakis; John H. Hipwell; Danail Stoyanov; Norman R. Williams; Jörg Sabczynski; Thomas Bülow; Dominik Kutra; Kirsten Meetz; Stewart Young; Hans Barschdorf; et al. (Digital Mammography / IWDM, 2016)

Automated Detection of Malaria Parasites on Thick Blood Smears via Mobile Devices. - Luís Rosado; José M. Correia da Costa; Dirk Elias; Jaime S. Cardoso 001 (MIUA, 2016)

A realistic evaluation of iris presentation attack detection. - Ana Filipa Sequeira; Shejin Thavalengal; James M. Ferryman; Peter Corcoran 001; Jaime S. Cardoso 001 (TSP, 2016)

The breast cancer conservative treatment. Cosmetic results - BCCT.core - Software for objective assessment of esthetic outcome in breast cancer conservative treatment: A narrative review. - Maria João Cardoso; Jaime S. Cardoso 001; Hélder P. Oliveira; Pedro Gouveia (Comput. Methods Programs Biomed., 2016)

Discriminative directional classifiers. - Kelwin Fernandes; Jaime S. Cardoso 001 (Neurocomputing, 2016)

Long-range trajectories from global and local motion representations. - Eduardo Marques Pereira; Jaime S. Cardoso 001; Ricardo Morla (J. Vis. Commun. Image Represent., 2016)

µSmartScope: 3D-printed Smartphone Microscope with Motorized Automated Stage. - Luís Rosado; João Oliveira 003; Maria João M. Vasconcelos; José M. Correia da Costa; Dirk Elias; Jaime S. Cardoso 001 (BIODEVICES, 2017)

mu μ SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage. - Luís Rosado; Paulo T. Silva; José Faria; João Oliveira 003; Maria João M. Vasconcelos; Dirk Elias; José M. Correia da Costa; Jaime S. Cardoso 001 (BIOSTEC (Selected Papers), 2017)

Ordinal Class Imbalance with Ranking. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; María Pérez-Ortiz 001; Jaime S. Cardoso 001 (IbPRIA, 2017)

Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy. - Kelwin Fernandes; Jaime S. Cardoso 001; Birgitte Schmidt Astrup (IbPRIA, 2017)

Transfer Learning with Partial Observability Applied to Cervical Cancer Screening. - Kelwin Fernandes; Jaime S. Cardoso 001; Jessica Fernandes (IbPRIA, 2017)

Multimodal Learning for Sign Language Recognition. - Pedro M. Ferreira 002; Jaime S. Cardoso 001; Ana Rebelo (IbPRIA, 2017)

Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features. - Jaime S. Cardoso 001; Nuno Marques; Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (ICIP, 2017)

Constraining Type II Error: Building Intentionally Biased Classifiers. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (IWANN (2), 2017)

Combining Ranking with Traditional Methods for Ordinal Class Imbalance. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; María Pérez-Ortiz 001; Jaime S. Cardoso 001 (IWANN (2), 2017)

Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation. - María Pérez-Ortiz 001; Kelwin Fernandes; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Javier Briceño; César Hervás-Martínez (IWANN (2), 2017)

Measuring Impedance in Congestive Heart Failure. - Ricardo Silva; Jaime S. Cardoso 001; Filipe Sousa (pHealth, 2017)

Deep Local Binary Patterns. - Kelwin Fernandes; Jaime S. Cardoso 001 (CoRR, 2017)

Foreword to the special issue on pattern recognition and image analysis. - Jaime S. Cardoso 001; Xose Manuel Pardo; Roberto Paredes (Neural Comput. Appl., 2017)

Multi-source deep transfer learning for cross-sensor biometrics. - Chetak Kandaswamy; João C. Monteiro; Luís M. Silva; Jaime S. Cardoso 001 (Neural Comput. Appl., 2017)

Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario. - Eduardo Marques Pereira; Lucian Ciobanu; Jaime S. Cardoso 001 (Neural Comput. Appl., 2017)

Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel. - João Ribeiro Pinto; Jaime S. Cardoso 001; André Lourenço; Carlos Carreiras (Sensors, 2017)

Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination. - Luís Rosado; José M. Correia da Costa; Dirk Elias; Jaime S. Cardoso 001 (Sensors, 2017)

Cervical cancer (Risk Factors). - Kelwin Fernandes; Jaime S. Cardoso 001; Jessica Fernandes (UCI Machine Learning Repository, 2017)

Quality Assessment of Digital Colposcopies. - Kelwin Fernandes; Jaime S. Cardoso 001; Jessica Fernandes (UCI Machine Learning Repository, 2017)

Elastic deformations for data augmentation in breast cancer mass detection. - Eduardo Castro; Jaime S. Cardoso 001; José Costa Pereira (BHI, 2018)

Robust Clustering-based Segmentation Methods for Fingerprint Recognition. - Pedro M. Ferreira 002; Ana Filipa Sequeira; Jaime S. Cardoso 001; Ana Rebelo (BIOSIG, 2018)

Are Deep Learning Methods Ready for Prime Time in Fingerprints Minutiae Extraction? - Ana Rebelo; Tiago Oliveira 004; Manuel Eduardo Correia; Jaime S. Cardoso 001 (CIARP, 2018)

Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls. - Joana Silva 001; Inês Sousa; Jaime S. Cardoso 001 (EMBC, 2018)

The Challenges of Applying Deep Learning for Hemangioma Lesion Segmentation. - Pedro G. Alves; Jaime S. Cardoso 001; Maria Do Bom-Sucesso (EUVIP, 2018)

Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods. - Licínio Oliveira; Jaime S. Cardoso 001; André Lourenço; Christer Ahlström (EUVIP, 2018)

Ordinal Image Segmentation using Deep Neural Networks. - Kelwin Fernandes; Jaime S. Cardoso 001 (IJCNN, 2018)

Deep Image Segmentation by Quality Inference. - Kelwin Fernandes; Ricardo P. M. Cruz; Jaime S. Cardoso 001 (IJCNN, 2018)

A Uniform Performance Index for Ordinal Classification with Imbalanced Classes. - Wilson Silva; João Ribeiro Pinto; Jaime S. Cardoso 001 (IJCNN, 2018)

Towards Complementary Explanations Using Deep Neural Networks. - Wilson Silva; Kelwin Fernandes; Maria João Cardoso; Jaime S. Cardoso 001 (MLCN/DLF/iMIMIC@MICCAI, 2018)

A Class Imbalance Ordinal Method for Alzheimer's Disease Classification. - Ricardo P. M. Cruz; Margarida Silveira; Jaime S. Cardoso 001 (PRNI, 2018)

Automated Methods for the Decision Support of Cervical Cancer Screening Using Digital Colposcopies. - Kelwin Fernandes; Jaime S. Cardoso 001; Jessica Fernandes (IEEE Access, 2018)

Physiological Inspired Deep Neural Networks for Emotion Recognition. - Pedro M. Ferreira 002; Filipe Marques; Jaime S. Cardoso 001; Ana Rebelo (IEEE Access, 2018)

Evolution, Current Challenges, and Future Possibilities in ECG Biometrics. - João Ribeiro Pinto; Jaime S. Cardoso 001; André Lourenço (IEEE Access, 2018)

1st MICCAI workshop on deep learning in medical image analysis. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Jacinto C. Nascimento; Jaime S. Cardoso 001; Zhi Lu; Vasileios Belagiannis (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Dimensional emotion recognition using visual and textual cues. - Pedro M. Ferreira 002; Diogo Pernes; Kelwin Fernandes; Ana Rebelo; Jaime S. Cardoso 001 (CoRR, 2018)

Binary ranking for ordinal class imbalance. - Ricardo P. M. Cruz; Kelwin Fernandes; Joaquim F. Pinto da Costa; María Pérez-Ortiz 001; Jaime S. Cardoso 001 (Pattern Anal. Appl., 2018)

A deep learning approach for the forensic evaluation of sexual assault. - Kelwin Fernandes; Jaime S. Cardoso 001; Birgitte Schmidt Astrup (Pattern Anal. Appl., 2018)

Supervised deep learning embeddings for the prediction of cervical cancer diagnosis. - Kelwin Fernandes; Davide Chicco; Jaime S. Cardoso 001; Jessica Fernandes (PeerJ Comput. Sci., 2018)

A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery. - Hooshiar Zolfagharnasab; Sílvia Bessa; Sara Pires de Oliveira; Pedro Faria; João F. Teixeira; Jaime S. Cardoso 001; Hélder P. Oliveira (Sensors, 2018)

Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations. - Pedro M. Ferreira 002; Ana Filipa Sequeira; Diogo Pernes; Ana Rebelo; Jaime S. Cardoso 001 (BIOSIG, 2019)

An End-to-End Convolutional Neural Network for ECG-Based Biometric Authentication. - João Ribeiro Pinto; Jaime S. Cardoso 001 (BTAS, 2019)

Weight Rotation as a Regularization Strategy in Convolutional Neural Networks. - Eduardo Castro; José Costa Pereira; Jaime S. Cardoso 001 (EMBC, 2019)

Averse Deep Semantic Segmentation. - Ricardo P. M. Cruz; Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (EMBC, 2019)

Quality-based Regularization for Iterative Deep Image Segmentation. - José Rebelo; Kelwin Fernandes; Jaime S. Cardoso 001 (EMBC, 2019)

Power Distribution Insulators Classification Using Image Hybrid Deep Learning. - Eduardo F. Simas Filho; Ricardo M. Prates; Rodrigo Pereira Ramos; Jaime S. Cardoso 001 (EUSIPCO, 2019)

Towards Automatic Rat's Gait Analysis Under Suboptimal Illumination Conditions. - Ana F. Adonias; Joana Ferreira-Gomes; Raquel Alonso; Fani Neto; Jaime S. Cardoso 001 (IbPRIA (2), 2019)

Deep Vesselness Measure from Scale-Space Analysis of Hessian Matrix Eigenvalues. - Ricardo J. Araújo; Jaime S. Cardoso 001; Hélder P. Oliveira (IbPRIA (2), 2019)

Don't You Forget About Me: A Study on Long-Term Performance in ECG Biometrics. - Gabriel Lopes; João Ribeiro Pinto; Jaime S. Cardoso 001 (IbPRIA (2), 2019)

Automatic Augmentation by Hill Climbing. - Ricardo P. M. Cruz; Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (ICANN (2), 2019)

A Single-Resolution Fully Convolutional Network for Retinal Vessel Segmentation in Raw Fundus Images. - Ricardo J. Araújo; Jaime S. Cardoso 001; Hélder P. Oliveira (ICIAP (2), 2019)

Learning signer-invariant representations with adversarial training. - Pedro M. Ferreira 002; Diogo Pernes; Ana Rebelo; Jaime S. Cardoso 001 (ICMV, 2019)

SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities. - Diogo Pernes; Jaime S. Cardoso 001 (IJCNN, 2019)

How to produce complementary explanations using an Ensemble Model. - Wilson Silva; Kelwin Fernandes; Jaime S. Cardoso 001 (IJCNN, 2019)

Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes. - Wilson Silva; Eduardo Castro; Maria João Cardoso; Florian Fitzal; Jaime S. Cardoso 001 (ISBI, 2019)

A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation. - Ricardo J. Araújo; Jaime S. Cardoso 001; Hélder P. Oliveira (MICCAI (1), 2019)

Insulator visual non-conformity detection in overhead power distribution lines using deep learning. - Ricardo Santos Morla; Ricardo P. M. Cruz; André P. Marotta; Rodrigo Pereira Ramos; Eduardo F. Simas Filho; Jaime S. Cardoso 001 (Comput. Electr. Eng., 2019)

Editorial. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Jacinto C. Nascimento; Jaime S. Cardoso 001; Zhi Lu; Vasileios Belagiannis (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

On the role of multimodal learning in the recognition of sign language. - Pedro M. Ferreira 002; Jaime S. Cardoso 001; Ana Rebelo (Multim. Tools Appl., 2019)

Hypothesis transfer learning based on structural model similarity. - Kelwin Fernandes; Jaime S. Cardoso 001 (Neural Comput. Appl., 2019)

Sparse Multi-Bending Snakes. - Ricardo J. Araújo; Kelwin Fernandes; Jaime S. Cardoso 001 (IEEE Trans. Image Process., 2019)

Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks. - Marcela de Oliveira; Felipe Balistieri Santinelli; Marina Piacenti-Silva; Fernando Coronetti Gomes Rocha; Fabio Augusto Barbieri; Paulo Noronha Lisboa-Filho; Jorge Manuel Santos; Jaime dos Santos Cardoso 001 (BIBM, 2020)

A robust fingerprint presentation attack detection method against unseen attacks through adversarial learning. - Joao Afonso Pereira; Ana Filipa Sequeira; Diogo Pernes; Jaime S. Cardoso 001 (BIOSIG, 2020)

Explaining ECG Biometrics: Is It All In The QRS? - João Ribeiro Pinto; Jaime S. Cardoso 001 (BIOSIG, 2020)

Background Invariance by Adversarial Learning. - Ricardo P. M. Cruz; Ricardo M. Prates; Eduardo F. Simas Filho; Joaquim F. Pinto da Costa; Jaime S. Cardoso 001 (ICPR, 2020)

Soft Rotation Equivariant Convolutional Neural Networks. - Eduardo Castro; José Costa Pereira; Jaime S. Cardoso 001 (IJCNN, 2020)

Self-Learning with Stochastic Triplet Loss. - João Ribeiro Pinto; Jaime S. Cardoso 001 (IJCNN, 2020)

Automotive Interior Sensing - Towards a Synergetic Approach between Anomaly Detection and Action Recognition Strategies. - Pedro Augusto; Jaime S. Cardoso 001; Joaquim Fonseca (IPAS, 2020)

Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks. - João Ribeiro Pinto; Tiago Gonçalves; Carolina Pinto; Luís Sanhudo; Joaquim Fonseca; Filipe Gonçalves; Pedro Carvalho; Jaime S. Cardoso 001 (IPAS, 2020)

Secure Triplet Loss for End-to-End Deep Biometrics. - João Ribeiro Pinto; Jaime S. Cardoso 001; Miguel V. Correia 002 (IWBF, 2020)

Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated? - Ana Filipa Sequeira; Wilson Silva; João Ribeiro Pinto; Tiago Gonçalves; Jaime S. Cardoso 001 (IWBF, 2020)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. - Jaime S. Cardoso 001; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel 001; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Interpretability-Guided Content-Based Medical Image Retrieval. - Wilson Silva; Alexander Pollinger; Jaime S. Cardoso 001; Mauricio Reyes 001 (MICCAI (1), 2020)

Video Summarization through Total Variation, Deep Semi-supervised Autoencoder and Clustering Algorithms. - Eden Pereira da Silva; Eliaquim Monteiro Ramos; Leandro Tavares da Silva; Jaime S. Cardoso 001; Gilson A. Giraldi (VISIGRAPP (4: VISAPP), 2020)

Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices. - José Martins; Jaime S. Cardoso 001; Filipe Soares (Comput. Methods Programs Biomed., 2020)

Machine Learning Improvements to Human Motion Tracking with IMUs. - Pedro Manuel Santos Ribeiro; Ana Clara Matos; Pedro Henrique Santos; Jaime S. Cardoso 001 (Sensors, 2020)

802.11 wireless simulation and anomaly detection using HMM and UBM. - Anisa Allahdadi; Ricardo Morla; Jaime S. Cardoso 001 (Simul., 2020)

Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls. - Joana Silva 001; Inês Sousa; Jaime S. Cardoso 001 (IEEE J. Biomed. Health Informatics, 2020)

Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI. - Isabella Medeiros de Sousa; Marcela de Oliveira; Paulo Noronha Lisboa-Filho; Jaime dos Santos Cardoso 001 (BIBM, 2021)

My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition. - Pedro C. Neto; Fadi Boutros; João Ribeiro Pinto; Mohsen Saffari; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (BIOSIG, 2021)

Optimizing Person Re-Identification Using Generated Attention Masks. - Leonardo Capozzi; João Ribeiro Pinto; Jaime S. Cardoso 001; Ana Rebelo (CIARP, 2021)

End-to-End Deep Sketch-to-Photo Matching Enforcing Realistic Photo Generation. - Leonardo Capozzi; João Ribeiro Pinto; Jaime S. Cardoso 001; Ana Rebelo (CIARP, 2021)

A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images. - Pedro Costa 005; Aurélio Campilho; Jaime S. Cardoso 001 (CIARP, 2021)

FocusFace: Multi-task Contrastive Learning for Masked Face Recognition. - Pedro C. Neto; Fadi Boutros; João Ribeiro Pinto; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (FG, 2021)

MFR 2021: Masked Face Recognition Competition. - Fadi Boutros; Naser Damer; Jan Niklas Kolf; Kiran B. Raja; Florian Kirchbuchner; Raghavendra Ramachandra; Arjan Kuijper; Pengcheng Fang; Chao Zhang; Fei Wang 032; David Montero 002; Naiara Aginako; et al. (IJCB, 2021)

Deep Ordinal Focus Assessment for Whole Slide Images. - Tomé Albuquerque; Ana Moreira; Jaime S. Cardoso 001 (ICCVW, 2021)

Embedded Regularization For Classification Of Colposcopic Images. - Tomé Albuquerque; Jaime S. Cardoso 001 (ISBI, 2021)

Mixture-Based Open World Face Recognition. - Arthur Matta; João Ribeiro Pinto; Jaime S. Cardoso 001 (WorldCIST (3), 2021)

AUTOMOTIVE: A Case Study on AUTOmatic multiMOdal Drowsiness detecTIon for smart VEhicles. - Telma Esteves; João Ribeiro Pinto; Pedro M. Ferreira 002; Pedro Amaro Costa; Lourenço Abrunhosa Rodrigues; Inês Antunes; Gabriel Lopes; Pedro Gamito; Arnaldo J. Abrantes; Pedro Mendes Jorge; André Lourenço; Ana Filipa Sequeira; et al. (IEEE Access, 2021)

Privacy-Preserving Generative Adversarial Network for Case-Based Explainability in Medical Image Analysis. - Helena Montenegro; Wilson Silva; Jaime S. Cardoso 001 (IEEE Access, 2021)

Towards Privacy-preserving Explanations in Medical Image Analysis. - Helena Montenegro; Wilson Silva; Jaime S. Cardoso 001 (CoRR, 2021)

Topological Similarity Index and Loss Function for Blood Vessel Segmentation. - Ricardo J. Araújo; Jaime S. Cardoso 001; Hélder P. Oliveira (CoRR, 2021)

A Systematic Survey of ML Datasets for Prime CV Research Areas - Media and Metadata. - Helder F. Castro; Jaime S. Cardoso 001; Maria T. Andrade 001 (Data, 2021)

An exploratory study of interpretability for face presentation attack detection. - Ana Filipa Sequeira; Tiago Gonçalves; Wilson Silva; João Ribeiro Pinto; Jaime S. Cardoso 001 (IET Biom., 2021)

Hidden Markov models on a self-organizing map for anomaly detection in 802.11 wireless networks. - Anisa Allahdadi; Diogo Pernes; Jaime S. Cardoso 001; Ricardo Morla (Neural Comput. Appl., 2021)

Ordinal losses for classification of cervical cancer risk. - Tomé Albuquerque; Ricardo P. M. Cruz; Jaime S. Cardoso 001 (PeerJ Comput. Sci., 2021)

Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process. - Mohsen Saffari; Mahdi Khodayar; Mohammad Saeed Ebrahimi Saadabadi; Ana Filipa Sequeira; Jaime S. Cardoso 001 (Sensors, 2021)

Secure Triplet Loss: Achieving Cancelability and Non-Linkability in End-to-End Deep Biometrics. - João Ribeiro Pinto; Miguel V. Correia 002; Jaime S. Cardoso 001 (IEEE Trans. Biom. Behav. Identity Sci., 2021)

DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition. - Pedro M. Ferreira 002; Diogo Pernes; Ana Rebelo; Jaime S. Cardoso 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement. - Pedro C. Neto; Tiago Gonçalves; Marco Huber; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (BIOSIG, 2022)

Quality Control in Digital Pathology: Automatic Fragment Detection and Counting. - Tomé Albuquerque; Ana Moreira; Beatriz Barros; Diana Montezuma; Sara Pires de Oliveira; Pedro C. Neto; João C. Monteiro; Liliana Ribeiro; Sofia Gonçalves; Ana Monteiro; Isabel M. Pinto; Jaime S. Cardoso 001 (EMBC, 2022)

Increased Robustness in Chest X-Ray Classification Through Clinical Report-Driven Regularization. - Diogo Mata; Wilson Silva; Jaime S. Cardoso 001 (IbPRIA, 2022)

From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation. - Isabel Rio-Torto; Jaime S. Cardoso 001; Luís F. Teixeira 001 (IbPRIA, 2022)

Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes. - Wilson Silva; Maria Carvalho; Carlos Mavioso; Maria João Cardoso; Jaime S. Cardoso 001 (IbPRIA, 2022)

SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data. - Marco Huber; Fadi Boutros; Anh Thi Luu; Kiran B. Raja; Raghavendra Ramachandra; Naser Damer; Pedro C. Neto; Tiago Gonçalves; Ana Filipa Sequeira; Jaime S. Cardoso 001; João Tremoço; Miguel Lourenço; et al. (IJCB, 2022)

OCFR 2022: Competition on Occluded Face Recognition from Synthetically Generated Structure-Aware Occlusions. - Pedro C. Neto; Fadi Boutros; João Ribeiro Pinto; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001; Messaoud Bengherabi; Abderaouf Bousnat; Sana Boucheta; Nesrine Hebbadj; Mustafa Ekrem Erakin; Ugur Demir; et al. (IJCB, 2022)

Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations. - Helena Montenegro; Wilson Silva; Jaime S. Cardoso 001 (MAD@MICCAI, 2022)

Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation. - Pedro Costa 005; Alex Gaudio; Aurélio Campilho; Jaime S. Cardoso 001 (MIDL, 2022)

Streamlining Action Recognition in Autonomous Shared Vehicles with an Audiovisual Cascade Strategy. - João Ribeiro Pinto; Pedro Carvalho; Carolina Pinto; Afonso Sousa; Leonardo Capozzi; Jaime S. Cardoso 001 (VISIGRAPP (5: VISAPP), 2022)

Myope Models - Are face presentation attack detection models short-sighted? - Pedro C. Neto; Ana Filipa Sequeira; Jaime S. Cardoso 001 (WACV (Workshops), 2022)

Toward Vehicle Occupant-Invariant Models for Activity Characterization. - Leonardo Capozzi; Vítor Barbosa; Carolina Pinto; João Ribeiro Pinto; Américo Pereira; Pedro Carvalho; Jaime S. Cardoso 001 (IEEE Access, 2022)

A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms? - Tiago Gonçalves; Isabel Rio-Torto; Luís F. Teixeira 001; Jaime S. Cardoso 001 (IEEE Access, 2022)

Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy. - Helena Montenegro; Wilson Silva; Alex Gaudio; Matt Fredrikson; Asim Smailagic; Jaime S. Cardoso 001 (IEEE Access, 2022)

Beyond Masks: On the Generalization of Masked Face Recognition Models to Occluded Face Recognition. - Pedro C. Neto; João Ribeiro Pinto; Fadi Boutros; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (IEEE Access, 2022)

Spiking Neural Networks: A Survey. - João D. Nunes; Marcelo Carvalho; Diogo Carneiro; Jaime S. Cardoso 001 (IEEE Access, 2022)

Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector. - Pedro Costa 005; Yongpan Fu; João Nunes; Aurélio Campilho; Jaime S. Cardoso 001 (CoRR, 2022)

A survey on attention mechanisms for medical applications: are we moving towards better algorithms? - Tiago Gonçalves; Isabel Rio-Torto; Luís F. Teixeira 001; Jaime S. Cardoso 001 (CoRR, 2022)

Explainable Biometrics in the Age of Deep Learning. - Pedro C. Neto; Tiago Gonçalves; João Ribeiro Pinto; Wilson Silva; Ana Filipa Sequeira; Arun Ross; Jaime S. Cardoso 001 (CoRR, 2022)

Tackling unsupervised multi-source domain adaptation with optimism and consistency. - Diogo Pernes; Jaime S. Cardoso 001 (Expert Syst. Appl., 2022)

Electrocardiogram lead conversion from single-lead blindly-segmented signals. - Sofia C. Beco; João Ribeiro Pinto; Jaime S. Cardoso 001 (BMC Medical Informatics Decis. Mak., 2022)

Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition. - Pedro C. Neto; Eduarda Caldeira; Jaime S. Cardoso 001; Ana Filipa Sequeira (BIOSIG, 2023)

Deep Minutiae Fingerprint Extraction Using Equivariance Priors. - Margarida Gouveia; Eduardo Castro; Ana Rebelo; Jaime S. Cardoso 001; Bruno Patrão (BIOSIGNALS, 2023)

OCT Image Synthesis through Deep Generative Models. - Tânia Melo; Jaime S. Cardoso 001; Ângela Carneiro; Aurélio Campilho; Ana Maria Mendonça (CBMS, 2023)

YOLOMM - You Only Look Once for Multi-modal Multi-tasking. - Filipe Campos; Francisco Gonçalves Cerqueira; Ricardo P. M. Cruz; Jaime S. Cardoso 001 (CIARP, 2023)

Active Supervision: Human in the Loop. - Ricardo P. M. Cruz; A. S. M. Shihavuddin; Md Hasan Maruf; Jaime S. Cardoso 001 (CIARP, 2023)

Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023. - Isabel Rio-Torto; Cristiano Patrício; Helena Montenegro; Tiago Gonçalves; Jaime S. Cardoso 001 (CLEF (Working Notes), 2023)

PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric Face Recognition. - Pedro C. Neto; Ana Filipa Sequeira; Jaime S. Cardoso 001; Philipp Terhörst (CVPR Workshops, 2023)

Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection. - Eduarda Caldeira; Pedro C. Neto; Tiago Gonçalves; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (EUSIPCO, 2023)

Transformer-Based Multi-Prototype Approach for Diabetic Macular Edema Analysis in OCT Images. - Plácido L. Vidal; Joaquim de Moura; Jorge Novo; Marcos Ortega 001; Jaime S. Cardoso 001 (ICASSP, 2023)

Deep Learning Strategies For Rare Drug Mechanism of Action Prediction. - Gonçalo Ferreira; Marco Teixeira; Raquel Belo; Wilson Silva; Jaime S. Cardoso 001 (IJCNN, 2023)

Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. - Javier Barbero-Gómez; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWANN (2), 2023)

Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI. - Tomé Albuquerque; Mei Ling Fang; Benedikt Wiestler; Claire Delbridge; Maria João M. Vasconcelos; Jaime S. Cardoso 001; Peter J. Schüffler (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype. - Pedro C. Neto; Diana Montezuma; Sara Pires de Oliveira; Domingos Oliveira; João Fraga; Ana Monteiro; João C. Monteiro; Liliana Ribeiro; Sofia Gonçalves; Stefan Reinhard; Inti Zlobec; Isabel M. Pinto; et al. (CoRR, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review. - Luis Filipe Nakayama; João Matos; Justin Quion; Frederico Novaes; William Greig Mitchell; Rogers Mwavu; Ju-Yi Ji Hung; Alvina Pauline dy Santiago; Warachaya Phanphruk; Jaime S. Cardoso 001; Leo Anthony Celi (CoRR, 2023)

Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods. - Tomé Albuquerque; Luís Rosado; Ricardo P. M. Cruz; Maria João M. Vasconcelos; Tiago Oliveira 004; Jaime S. Cardoso 001 (Intell. Syst. Appl., 2023)

Symmetry-based regularization in deep breast cancer screening. - Eduardo Castro; José Costa Pereira; Jaime S. Cardoso 001 (Medical Image Anal., 2023)

Two-Stage Framework for Faster Semantic Segmentation. - Ricardo P. M. Cruz; Diana Teixeira e Silva; Tiago Gonçalves; Diogo Carneiro; Jaime S. Cardoso 001 (Sensors, 2023)

Unveiling the performance of video anomaly detection models - A benchmark-based review. - Francisco Caetano; Pedro Carvalho; Jaime S. Cardoso 001 (Intell. Syst. Appl., 2023)

Classification of Keratitis from Eye Corneal Photographs using Deep Learning. - Maria Miguel Beirão; João Matos; Tiago Gonçalves; Camila Kase; Luis Filipe Nakayama; Denise de Freitas; Jaime S. Cardoso 001 (BIBM, 2024)

Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data. - Ivan DeAndres-Tame; Ruben Tolosana; Pietro Melzi; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Zhizhou Zhong; Yuge Huang; et al. (CVPR Workshops, 2024)

MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition. - Eduarda Caldeira; Jaime S. Cardoso 001; Ana Filipa Sequeira; Pedro C. Neto (ECCV Workshops (15), 2024)

A Disentangled Approach to Predict the Aesthetic Outcomes of Breast Cancer Treatment. - Helena Montenegro; Maria João Cardoso; Jaime S. Cardoso 001 (ECCV Workshops (9), 2024)

Reproducing Asymmetries Caused by Breast Cancer Treatment in Pre-Operative Breast Images. - Nuno Freitas; Helena Montenegro; Maria João Cardoso; Jaime S. Cardoso 001 (ISBI, 2024)

On the Suitability of B-cos Networks for the Medical Domain. - Isabel Rio-Torto; Tiago Gonçalves; Jaime S. Cardoso 001; Luís F. Teixeira 001 (ISBI, 2024)

Endpoint Detection in Breast Images for Automatic Classification of Breast Cancer Aesthetic Results. - Nuno Freitas; Carlos Veloso; Carlos Mavioso; Maria João Cardoso; Hélder P. Oliveira; Jaime S. Cardoso 001 (Deep-Breath@MICCAI, 2024)

Evaluating the Impact of Pulse Oximetry Bias in Machine Learning Under Counterfactual Thinking. - Inês Martins; João Matos; Tiago Gonçalves; Leo A. Celi; An-Kwok Ian Wong; Jaime S. Cardoso 001 (AMAI@MICCAI, 2024)

Predicting Aesthetic Outcomes in Breast Cancer Surgery: A Multimodal Retrieval Approach. - Mohammad Hossein Zolfagharnasab; Nuno Freitas; Tiago Gonçalves; Eduard Bonci; Carlos Mavioso; Maria João Cardoso; Hélder P. Oliveira; Jaime S. Cardoso 001 (Deep-Breath@MICCAI, 2024)

Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification. - Isabel Rio-Torto; Jaime S. Cardoso 001; Luís Filipe Teixeira 001 (MIDL, 2024)

Intrinsic Explainability for End-to-End Object Detection. - Luís Fernandes; João N. D. Fernandes; Mariana Calado; João Ribeiro Pinto; Ricardo Cerqueira; Jaime S. Cardoso 001 (IEEE Access, 2024)

Space Imaging Point Source Detection and Characterization. - Francisco S. F. Ribeiro; Paulo J. V. Garcia; Miguel Silva; Jaime S. Cardoso 001 (IEEE Access, 2024)

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology. - Tiago Gonçalves; Dagoberto Pulido-Arias; Julian Willett; Katharina Viktoria Hoebel; Mason C. Cleveland; Syed Rakin Ahmed; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer; Jaime S. Cardoso 001; Christopher P. Bridge; Albert E. Kim (CoRR, 2024)

Anonymizing medical case-based explanations through disentanglement. - Helena Montenegro; Jaime S. Cardoso 001 (Medical Image Anal., 2024)

Explaining Bounding Boxes in Deep Object Detectors Using Post Hoc Methods for Autonomous Driving Systems. - Caio Nogueira; Luís Fernandes; João N. D. Fernandes; Jaime S. Cardoso 001 (Sensors, 2024)

Weather and Meteorological Optical Range Classification for Autonomous Driving. - Celso Pereira; Ricardo P. M. Cruz; João N. D. Fernandes; João Ribeiro Pinto; Jaime S. Cardoso 001 (IEEE Trans. Intell. Veh., 2024)

Deciphering the Silent Signals: Unveiling Frequency Importance for Wi-Fi-Based Human Pose Estimation with Explainability. - Leonardo Capozzi; Leonardo Ferreira; Tiago Gonçalves; Ana Rebelo; Jaime S. Cardoso 001; Ana Filipa Sequeira (IbPRIA (2), 2025)

Enhancing Weakly-Supervised Video Anomaly Detection With Temporal Constraints. - Francisco Caetano; Pedro Carvalho; Christina Mastralexi; Jaime S. Cardoso 001 (IEEE Access, 2025)

End-to-End Occluded Person Re-Identification With Artificial Occlusion Generation. - Leonardo Capozzi; Jaime S. Cardoso 001; Ana Rebelo (IEEE Access, 2025)

Learning Ordinality in Semantic Segmentation. - Ricardo P. M. Cruz; Rafael Cristino; Jaime S. Cardoso 001 (IEEE Access, 2025)

Neonatal EEG classification using a compact support separable kernel time-frequency distribution and attention-based CNN. - Arezki Larbi; Mansour Abed; Jaime S. Cardoso 001; Abdeljalil Ouahabi (Biomed. Signal Process. Control., 2025)

CNN explanation methods for ordinal regression tasks. - Javier Barbero-Gómez; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neurocomputing, 2025)

Information bottleneck with input sampling for attribution. - Bruno Fonseca Oliveira Coelho; Jaime S. Cardoso 001 (Neurocomputing, 2025)

Second FRCSyn-onGoing: Winning solutions and post-challenge analysis to improve face recognition with synthetic data. - Ivan DeAndres-Tame; Ruben Tolosana; Pietro Melzi; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Luis Felipe Gomez-Gomez; Aythami Morales; Julian Fierrez; Javier Ortega-Garcia; Zhizhou Zhong; et al. (Inf. Fusion, 2025)

A survey on cell nuclei instance segmentation and classification: Leveraging context and attention. - João D. Nunes; Diana Montezuma; Domingos Oliveira; Tânia Pereira 001; Jaime S. Cardoso 001 (Medical Image Anal., 2025)

H&E to IHC virtual staining methods in breast cancer: an overview and benchmarking. - Pascal Klöckner; José Teixeira; Diana Montezuma; João Fraga; Hugo M. Horlings; Jaime S. Cardoso 001; Sara Pires de Oliveira (npj Digit. Medicine, 2025)

CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification. - Cristiano Patrício; Isabel Rio-Torto; Jaime S. Cardoso 001; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2025)

An inpainting approach to manipulate asymmetry in pre-operative breast images. - Helena Montenegro; Maria João Cardoso; Jaime S. Cardoso 001 (CoRR, 2025)

CountPath: Automating Fragment Counting in Digital Pathology. - Ana Beatriz Vieira; Maria Valente; Diana Montezuma; Tomé Albuquerque; Liliana Ribeiro; Domingos Oliveira; João C. Monteiro; Sofia Gonçalves; Isabel M. Pinto; Jaime S. Cardoso 001; Arlindo L. Oliveira (CoRR, 2025)

Balancing Beyond Discrete Categories: Continuous Demographic Labels for Fair Face Recognition. - Pedro C. Neto; Naser Damer; Jaime S. Cardoso 001; Ana Filipa Sequeira (CoRR, 2025)

GANs vs. Diffusion Models for virtual staining with the HER2match dataset. - Pascal Klöckner; José Teixeira; Diana Montezuma; Jaime S. Cardoso 001; Hugo M. Horlings; Sara Pires de Oliveira (CoRR, 2025)

Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams. - Leonor Fernandes; Tiago Gonçalves; João Matos; Luis Filipe Nakayama; Jaime S. Cardoso 001 (CoRR, 2025)

Unimodal Distributions for Ordinal Regression. - Jaime S. Cardoso 001; Ricardo P. M. Cruz; Tomé Albuquerque (IEEE Trans. Artif. Intell., 2025)